AI & Machine Learning
At Stretch Qonnect, we utilize AI and machine learning to enhance your operations, make informed decisions based on your end-to-end data journey, and automate repetitive tasks.
When it comes to deployment, we view it as a valuable addition to the data platform and analytics tools you already possess.
Other than that, Artificial Intelligence is only deployed when it has the potential to make a positive difference.
Your data journey with
Before we jump into algorithms, we make sure your data is ready. We design governed data pipelines – from ingestion to transformation (ETL/ELT) – so AI models always consume trusted data.
Next, we identify the highest‑value use cases – together with your business stakeholders. Then we validate them fast through a PoC, using tools like Qlik Predict or custom Python models in Snowflake.
Finally, we operationalize the models and monitor performance, so value doesn’t stop after the first demo.
With the right use case...
Depending on the project, we work with several platforms, including:
Our solutions are easy to use and maintain, catering for both data scientists and non-technical teams with versatile low-code/no-code. Furthermore, we implement them anywhere to impact your setup, from backend and pipelines to interactive predictions in dashboards.
Not sure if your operations are AI ready yet? Try out our AI use-case scorecard to get started.
We build AI & Machine Learning solutions that solves concrete problems from churn prediction, prognosis and future forecasting.
With retrieval-augmented generation (RAG) and natural language processing you can quickly and easily access your structured and unstructured data. Employees no longer need to look through dashboards. They can ask questions and receive answers based on their company data right away. All thanks to AI.
Stretch Qonnect uses AI to provide you with useful information. We build custom models to predict things like churn, revenue, and demand. These models are based on your historical data. With scenario modeling, stakeholders can then test out the impact of different strategic choices before taking action.
Reliable AI models depend on high-quality data. We use automated ML-pipelines, that identifies outliers and patterns in your company data, making you react, before it becomes a cost.
Each solution should always be aligned with a specific business objective, such as enhancing efficiency, scalability, or deriving insights. Our commitment is to utilize AI in ways that provide real value to our customers, integrating it only when it clearly benefits them.
Our approach to
Many providers approach AI as a product. However, we view it as a dynamic tool that, when used effectively, enhances data solutions. Following is what we can offer:
First, we want to understand your business challenges, we assess your data’s readiness and strategically implement AI where it can deliver a tangible impact. That also means, our consultants ensure that each AI layer remains traceable, testable, and well-documented.
What about
Schedule a free AI health‑check with us.
